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Field
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the intersection between quantum information and particle physics. The successful applicant will work in Professor Carlos Argüelles’ group on the development of new algorithms to encode and process particle physics
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, computer science, or related field. Experience developing software in C++ or Python for scientific applications. One or more years post-graduate experience developing GNSS signal processing or related algorithms
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electromagnetic and thermal simulations. This work will include detailed tissue segmentation from medical images, integration of automatic and semi-automatic segmentation algorithms, refinement of anatomical
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governance model spanning web copy, blog/news content, program pages, landing pages, and Chapman’s storytelling hub. Write and edit compelling articles and feature stories that strengthen Chapman University’s
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ecology, remote sensing, and computer science. UAV imagery and increasingly sophisticated and targeted AI algorithms can estimate forage quality, biodiversity, and the abundance of individual plant species
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welcomes all transitioning military members to apply. You will: Develop, deploy, enhance, and maintain software applications and tools to support research computing needs Implement efficient algorithms and
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state-of-the-art visualization and decision support. The primary focus will be researching and developing feasible algorithmic solutions to our sponsor’s complex problems given large sets of multivariate
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, implementation, and evaluation ● AI in public management, government operations, and public service delivery ● Algorithmic decision making, accountability, and transparency ● The responsible and ethical use of AI
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of disease. Qualification of candidate: MSc in computational biology, biology, math, physics, computer science or related field. Four years of research experience. Job Summary Performs research, analysis, and
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closely connected with quantum technologies and physical platforms. Relevant areas include but are not limited to: quantum information and computation; quantum algorithms and complexity; quantum error